Yashas Annadani

27 papers A* 8B 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causal Bayesian Optimization with Unknown Graphs. CoRR Jean Durand, Yashas Annadani, Stefan Bauer, Sonali Parbhoo
2025	J	`jnl`	Preference-Guided Diffusion for Multi-Objective Offline Optimization. CoRR Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara E. Engelhardt
2024	A*	`conf`	Amortized Active Causal Induction with Deep Reinforcement Learning. NeurIPS Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
2024	J	`jnl`	Amortized Active Causal Induction with Deep Reinforcement Learning. CoRR Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
2024	A*	`conf`	Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. ICML Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
2024	J	`jnl`	Challenges and Considerations in the Evaluation of Bayesian Causal Discovery. CoRR Amir Mohammad Karimi-Mamaghan, Panagiotis Tigas, Karl Henrik Johansson, Yarin Gal, Yashas Annadani, Stefan Bauer
2023	A*	`conf`	BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. NeurIPS Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	J	`jnl`	BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery. CoRR Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
2023	A*	`conf`	Differentiable Multi-Target Causal Bayesian Experimental Design. ICML Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
2023	J	`jnl`	Differentiable Multi-Target Causal Bayesian Experimental Design. CoRR Yashas Annadani, Panagiotis Tigas, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer
2023	A*	`conf`	Structure by Architecture: Structured Representations without Regularization. ICLR Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
2023	A*	`conf`	Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2022	A*	`conf`	Interventions, Where and How? Experimental Design for Causal Models at Scale. NeurIPS Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
2022	J	`jnl`	Interventions, Where and How? Experimental Design for Causal Models at Scale. CoRR Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer
2022	J	`jnl`	Latent Variable Models for Bayesian Causal Discovery. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	J	`jnl`	Learning Latent Structural Causal Models. CoRR Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
2022	J	`jnl`	Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	Learning Neural Causal Models with Active Interventions. CoRR Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke
2021	J	`jnl`	Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. CoRR Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer
2020	J	`jnl`	Structural Autoencoders Improve Representations for Generation and Transfer. CoRR Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf
2018	B	`conf`	Augment and Adapt: A Simple Approach to Image Tampering Detection. ICPR Yashas Annadani, C. V. Jawahar
2018	—	`conf`	GrowBit: Incremental Hashing for Cross-Modal Retrieval. ACCV (4) Devraj Mandal, Yashas Annadani, Soma Biswas
2018	A*	`conf`	Preserving Semantic Relations for Zero-Shot Learning. CVPR Yashas Annadani, Soma Biswas
2018	J	`jnl`	Preserving Semantic Relations for Zero-Shot Learning. CoRR Yashas Annadani, Soma Biswas
2016	—	`conf`	Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. SITIS Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat
2016	J	`jnl`	Selfie Detection by Synergy-Constraint Based Convolutional Neural Network. CoRR Yashas Annadani, Vijayakrishna Naganoor, Akshay Kumar Jagadish, Krishnan Chemmangat
2016	J	`jnl`	Sliding Dictionary Based Sparse Representation For Action Recognition. CoRR Yashas Annadani, D. L. Rakshith, Soma Biswas